一种基于谱分析的非带限卫星信号信噪比估计算法

摘要

为了实现对非带限卫星信号信噪比的快速高精度估计，分析了传统的基于谱分析的信噪比估计算法的对非带限卫星信号估计不准的原因，提出了一种新的基于谱分析的信噪比估计算法；该方法利用主瓣范围内信号功率与信号总功率之比和主瓣范围内噪声功率与噪声总功率之比求得信号功率和噪声功率，从而得出信噪比；对BPSK和QPSK信号的仿真结果表明：新算法性能稳定，可有效提高估计精度，在－10～10 dB的范围内，估计的偏差和均方根误差基本都小于0．5 dB；提出的新的基于谱分析的信噪比估计算法可用于各种调制方式，计算复杂度小，可以满足对非带限卫星信号信噪比估计的需求。%In order to estimate the SNR (Signal to Noise Ratio )of non-band-limited satellite signals in high precision,a new SNR estimator based on spectrum analysis was proposed after an investigation of the traditional SNR estimator based on spectrum analysis.The new estimator utilized the ratio of signal power in main lobe to total signal power and the ratio of noise power in main lobe to total noise power to calculate signal power and noise power,and then got the SNR.Simulations for BPSK (Binary Phase Shift Keying) and QPSK (Quadrature Phase Shift Keying ) signals indicate that the new estimator is stable and can improve the estimation precision effectively.The bias and root mean square error of the new estimator are almost less than 0.5 dB when the true SNR range is from -10 dB to 10 dB.The new estimator can be used to different modulations.It has low complexity and can satisfy the SNR estimation demand of non-band-limited satellite signals.